A Meta-Model of the CIM Update Process for Smart Grid Information Integration

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Abstract:

The common information model (CIM) is crucial to the Smart Grid. However, its updates always cause the unmatched data mapping and model ontology confusion among integrated systems because of the ambiguous and unintuitive CIM update processes. The CIM meta-model was specifically designed to solve these problems. Its XSD-based ontology consisted of basic modeling steps and process information that bridged the gap among CIM UML/RDFS/RDF in compliance with the IEC 61968 standard. The corresponding scheme and application scenarios also presented to support the novel model transformation between different versions of the CIM for data integration.

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Advanced Materials Research (Volumes 614-615)

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1885-1889

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.P. Britton, A.N. de Vos. CIM - based standards and CIM evolution. IEEE Transaction on Power Systems, Vol.20 (2005), No.2, pp.758-764.

DOI: 10.1109/tpwrs.2005.846202

Google Scholar

[2] IEC 61970-301(ed.3.0): Energy management system application program interface (EMS-API) - Part 301: Common information model (CIM) base. Switzerland, IEC (2011).

DOI: 10.3403/30276859

Google Scholar

[3] IEC 61968-11(ed.1.0): Application integration at electric utilities-System interfaces for distribution management-Part 11: Common information model (CIM) extensions for distribution. Switzerland, IEC (2010).

DOI: 10.3403/30204342

Google Scholar

[4] IEC SG3. IEC Smart Grid Standardization Roadmap (ed.1.0). Switzerland, IEC (2010).

Google Scholar

[5] Wang X F, Schulz N N, Neumann S. CIM extensions to electrical distribution and CIM XML for the IEEE radial test feeders. IEEE Transaction on Power Systems, Vol. 18 (2003), No.3, pp.1021-1028..

DOI: 10.1109/tpwrs.2003.814857

Google Scholar

[6] Decker S, Melnik S. The Semantic Web: the roles of XML and RDF. IEEE Internet Computing, Vol.4 (2000), No.5, pp.63-73.

DOI: 10.1109/4236.877487

Google Scholar

[7] McMorran A W, Ault G W, Elders I M. Translating CIM XML power system data to a proprietary format for system simulation. IEEE Trans on Power System, Vol.19 (2004), No.1, pp.229-235.

DOI: 10.1109/tpwrs.2003.820691

Google Scholar

[8] Koch N. Classification of model transformation techniques used in UML-based Web engineering. IET Software, Vol.1 (2007), No.3, pp.98-111.

DOI: 10.1049/iet-sen:20060063

Google Scholar